Triple

T21148079
Position Surface form Disambiguated ID Type / Status
Subject CNN Headline News E521112 entity
Predicate sisterChannel P5818 FINISHED
Object CNN Airport Network NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: CNN Airport Network | Statement: [CNN Headline News, sisterChannel, CNN Airport Network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN Airport Network
Context triple: [CNN Headline News, sisterChannel, CNN Airport Network]
  • A. CNN Airport Network chosen
    CNN Airport Network was a specialized television channel from CNN that provided curated news, weather, and travel-related programming exclusively to airport terminals across the United States.
  • B. MSN Airport
    MSN Airport is the primary commercial airport serving Madison and the surrounding Dane County region in Wisconsin, United States.
  • C. Airport Line
    Airport Line is a railway line in Japan that connects urban areas to Kansai International Airport, operated by the private Nankai Electric Railway company.
  • D. Airport Line
    The Airport Line is a Manchester Metrolink light rail route that connects central Manchester with Manchester Airport, serving key suburbs and transport interchanges along the way.
  • E. Airport Line
    Airport Line is a Wuhan Metro route that connects the city’s urban rail network with its main airport, providing rapid transit access for air travelers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723fe9da88190b65c370b1efcbb96 completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.